Offers “IBM”

New IBM

Watson AIOps Brand Technical Seller

  • London (London)
  • IT development

Job description

Introduction
A few seconds of downtime or an IT outage can cost millions in lost revenue, reputational damage, or regulatory penalties. Enterprises want to better predict IT outages and resolve them more quickly. IBM Cloud Pak for Watson AIOps as part of the IBM Automation portfolio and complemented with Instana and Turbonomic offers a software intelligence platform based on artificial intelligence to monitor and optimize application performance and development and IT infrastructure.
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk..

Your Role and Responsibilities
We are looking for an experienced SRE AIOps Sales Engineer in the AIOps and Management space who will join our team and support US teams to drive complex opportunities in this emerging space. You will work with our Technical Sales and Sales teams in US to help identify and kickstart AIOps and Management opportunities and drive revenue in this space.
You will work with clients to understand their business and technical requirements in an IT Operations environment around Proactive Issue Avoidance and Resolution, Intelligent Change Risk Management, Cost Optimization, Application Scaling and Deployment and GRC (Governance, Risk and Compliance) use cases. You articulate the value proposition of IBMs Management portfolio, and how it differentiates from our competitors.
You will also enable, mentor and assist Technical professionals to share your knowledge and experience. We are seeking individuals interested in making an impact in selling our strategic Watson AIOps solution. You must be self-motivated, driven to win sales opportunities, and ready to interact daily with customers, colleagues, and business partners.

Required Technical and Professional Expertise
• Cognitive Data Engineering:
o Functional understanding of at least one of the AIOps solutions in the market (ServiceNow, Splunk, Moogsoft, or Watson AIOps)
o In-depth understanding of Data Modeling, and Data Models
o Ability to articulate the value to an IT Operations Engineer without Data-Scientist background
o Deep experience in training data AI models:
o Expert in data normalization
o Understanding of the amount and kind of data needed to train a model
o Ability to explain and demonstrate the confidence level of a model
o Complete familiarity with Kubernetes Linux clusters and command line experience for data integration, transformation and validation
o Hands-on experience with Scripting and scripting languages such as Python

• IT Operations and Site Reliability Engineering (SRE)
o Good knowledge of the role of traditional IT Operations (ITOps) Engineers, tools they are typically using and pain points they are facing, e.g. deep experience with Logs and Log aggregation, Automation (Ansible, Saltstack, Terraform), ChatOps and interoperability with enterprise chat tools, CI/CD pipelines
o Deep understanding of how a Site Reliability Engineer (SRE) approaches Operations to ensure that continuously delivered applications run efficiently and reliably by using software engineering and automation solutions.
o Ability to assess where the client is on the journey from traditional IT Operations to SRE, and able to articulate and demonstrate the value of Watson AIOps to help them with the transition.
o Expert knowledge around DevSecOps concepts

• Kubernetes Expertise:
o Applied knowledge of building and operating clusters effectively on a Kubernetes platform (preferably Red Hat OpenShift)
o Expert in understanding the underlying open source and concepts around Storage, Networking, Security, Trouble Shooting, Management and Performance Tuning

Preferred Technical and Professional Expertise
• Proven communication skills and fluent in English.
• Ability to understand business problems, and articulate business value to different target audiences (IT Operation Engineer, Site Reliability Engineer, CxO)
• In-depth Cloud Platform knowledge and in one of the following: Microsoft Azure, Google Cloud Platform/Anthos, Amazon/AWS

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